Merge pull request 'feat: Gen AI Evolution Phase 22 — Autonomous Bitcoin Scripting & Lightning Integration' (#121) from feat/sovereign-finance-phase-22 into main
This commit was merged in pull request #121.
This commit is contained in:
49
evolution/bitcoin_scripter.py
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49
evolution/bitcoin_scripter.py
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"""Phase 22: Autonomous Bitcoin Scripting.
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Generates and validates complex Bitcoin scripts (multisig, timelocks, etc.) for sovereign asset management.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class BitcoinScripter:
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def __init__(self):
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# In a real implementation, this would use a library like python-bitcoinlib
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self.adapter = GeminiAdapter()
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def generate_script(self, requirements: str) -> Dict[str, Any]:
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"""Generates a Bitcoin script based on natural language requirements."""
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logger.info(f"Generating Bitcoin script for requirements: {requirements}")
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prompt = f"""
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Requirements: {requirements}
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Please generate a valid Bitcoin Script (Miniscript or raw Script) that satisfies these requirements.
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Include a detailed explanation of the script's logic, security properties, and potential failure modes.
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Identify the 'Sovereign Safeguards' implemented in the script.
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Format the output as JSON:
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{{
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"requirements": "{requirements}",
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"script_type": "...",
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"script_hex": "...",
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"script_asm": "...",
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"explanation": "...",
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"security_properties": [...],
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"sovereign_safeguards": [...]
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Bitcoin Scripter. Your goal is to ensure Timmy's financial assets are protected by the most secure and sovereign code possible.",
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thinking=True,
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response_mime_type="application/json"
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)
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script_data = json.loads(result["text"])
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return script_data
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49
evolution/lightning_client.py
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evolution/lightning_client.py
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"""Phase 22: Lightning Network Integration.
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Manages Lightning channels and payments for low-latency, sovereign transactions.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class LightningClient:
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def __init__(self):
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# In a real implementation, this would interface with LND, Core Lightning, or Greenlight
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self.adapter = GeminiAdapter()
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def plan_payment_route(self, destination: str, amount_sats: int) -> Dict[str, Any]:
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"""Plans an optimal payment route through the Lightning Network."""
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logger.info(f"Planning Lightning payment of {amount_sats} sats to {destination}.")
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prompt = f"""
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Destination: {destination}
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Amount: {amount_sats} sats
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Please simulate an optimal payment route through the Lightning Network.
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Identify potential bottlenecks, fee estimates, and privacy-preserving routing strategies.
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Generate a 'Lightning Execution Plan'.
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Format the output as JSON:
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{{
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"destination": "{destination}",
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"amount_sats": {amount_sats},
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"route_plan": [...],
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"fee_estimate_sats": "...",
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"privacy_score": "...",
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"execution_directives": [...]
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Lightning Client. Your goal is to ensure Timmy's transactions are fast, cheap, and private.",
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thinking=True,
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response_mime_type="application/json"
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)
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route_data = json.loads(result["text"])
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return route_data
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47
evolution/sovereign_accountant.py
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evolution/sovereign_accountant.py
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"""Phase 22: Sovereign Accountant.
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Tracks balances, transaction history, and financial health across the sovereign vault.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class SovereignAccountant:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def generate_financial_report(self, transaction_history: List[Dict[str, Any]]) -> Dict[str, Any]:
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"""Generates a comprehensive financial health report."""
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logger.info("Generating sovereign financial health report.")
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prompt = f"""
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Transaction History:
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{json.dumps(transaction_history, indent=2)}
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Please perform a 'Deep Financial Audit' of this history.
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Identify spending patterns, income sources, and potential 'Sovereign Risks' (e.g., over-exposure to a single counterparty).
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Generate a 'Financial Health Score' and proposed 'Sovereign Rebalancing' strategies.
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Format the output as JSON:
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{{
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"health_score": "...",
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"audit_summary": "...",
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"spending_patterns": [...],
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"sovereign_risks": [...],
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"rebalancing_strategies": [...]
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Sovereign Accountant. Your goal is to ensure Timmy's financial foundation is robust and aligned with his long-term goals.",
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thinking=True,
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response_mime_type="application/json"
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)
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report_data = json.loads(result["text"])
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return report_data
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